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Publications (10 of 84) Show all publications
Borking, K., Danielson, M., Davies, G., Ekenberg, L., Idefeldt, J. & Larsson, A. (2011). Transcending Business Intelligence (1ed.). Stockholm: Sine Metu
Open this publication in new window or tab >>Transcending Business Intelligence
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2011 (English)Book (Other (popular science, discussion, etc.))
Abstract [en]

How on Earth did this happen? The question is not infrequent, but more to the point, it?s unnecessary. It arises because in many cases people haven?t thought things through beforehand. Yes, sometimes people can be unlucky, but far from every time that things go awry; bad luck is never so consistent - by definition. Thinking things through properly beforehand might seem a fairly obvious requirement for making a good decision, but startlingly often, even critical decisions are made without any in depth analysis. Well, there may have been some background data lying around somewhere, but not much is done with it. Though it's easy to blame authoritarian leadership or the like, poor decision making is far more usually due to not really knowing what to do with the available information, whether it's sufficient and what else needs to be known There?s nothing weird or idiotic about today?s decision makers, but there often is about the tools and methods available to them. It would be more accurate to say that many decision makers have been lead astray regarding their remit and capacity, but fortunately with structured decision processes they can be guided back on track far more easily than had they been as dim- witted as some of their decisions would indicate.Businesses introduce various BI solutions both timely and untimely, but what most of them don't have is any kind of methodology by which to deal with decisions. With no processes, knowledge, techniques or tools, they soon come to grief. Happily this is fairly easy to remedy.Decision processes and decision methods can be greatly improved. In this book we simply explain how to go about it.

Place, publisher, year, edition, pages
Stockholm: Sine Metu, 2011. p. 150 Edition: 1
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:miun:diva-13196 (URN)STC (Local ID)9197845051 (ISBN)STC (Archive number)STC (OAI)
Available from: 2011-02-07 Created: 2011-02-07 Last updated: 2016-10-19Bibliographically approved
Larsson, A., Ekenberg, L. & Danielson, M. (2010). Decision Evaluation of Response Strategies in Emergency Management Using Imprecise Assessments. Journal of Homeland Security and Emergency Management, 7(1)
Open this publication in new window or tab >>Decision Evaluation of Response Strategies in Emergency Management Using Imprecise Assessments
2010 (English)In: Journal of Homeland Security and Emergency Management, ISSN 1547-7355, Vol. 7, no 1Article in journal (Refereed) Published
Abstract [en]

This paper focuses on the decision evaluation of different response strategies in emergency management utilizing decision analysis with imprecise information. A method for the selection of response strategies in emergency management, as well as a model for the representation of catastrophic consequences, are proposed. In emergency management decision problems, the available estimates of probabilities, utilities, costs, and priority weights are often subject to large degrees of uncertainty and imprecision. When uncertainty prevails in the input data and large societal values are at stake, coping with this lack of precision becomes very important in decision making processes. The method employs representation of imprecision in probabilities, utilities, and weights on attributes in the form of interval statements and comparisons together with a formal, comprehensive, and comprehensible description of a catastrophic consequence facilitating the use of preferential statements between catastrophic consequences. The method proposed can be viewed as a more frugal decision analysis method, decreasing the efforts needed in elicitation of input statements which often is a cumbersome threshold for the use of decision analysis techniques. It is suggested as a complement to cost/benefit approaches and other approaches relying on inaccessible probabilistic data either when probability assessments regarding catastrophic events are too uncertain or when pure monetary scales are deemed inadequate.

Place, publisher, year, edition, pages
Berkeley Electronic Press, 2010
Keyword
emergency management, decision analysis, imprecision, uncertainty
National Category
Information Systems
Identifiers
urn:nbn:se:miun:diva-11947 (URN)10.2202/1547-7355.1646 (DOI)
Projects
STC
Available from: 2010-09-02 Created: 2010-09-02 Last updated: 2018-01-12Bibliographically approved
Ding, X., Danielson, M. & Ekenberg, L. (2010). Disjoint Programming in Computational Decision Analysis. Journal of Uncertain Systems, 4(1), 4-13
Open this publication in new window or tab >>Disjoint Programming in Computational Decision Analysis
2010 (English)In: Journal of Uncertain Systems, ISSN 1752-8917, Vol. 4, no 1, p. 4-13Article in journal (Refereed) Published
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-10002 (URN)
Available from: 2009-10-08 Created: 2009-10-08 Last updated: 2018-01-13Bibliographically approved
Larsson, A., Ekenberg, L., Wessel, Å. & Bach, H. (2010). Non-technical Survey: A Model for Evidence-based Assessment. Journal of ERW and Mine Action, 14(1)
Open this publication in new window or tab >>Non-technical Survey: A Model for Evidence-based Assessment
2010 (English)In: Journal of ERW and Mine Action, ISSN 2154-1485, Vol. 14, no 1Article in journal (Refereed) Published
Abstract [en]

In an ongoing effort to improve the Non-technical Survey, the Geneva International Centre for Humanitarian Demining teamed with Stockholm University to create an enhanced version of the Cambodia Mine Action Centre’s Evidence Assessment Model. The aim of the project was to make the existing model more user-friendly and modify the current standards for assessment of mine-affected land. CMAC is testing a revised model to ensure that it meets the needs of their Non-technical Survey teams.

Place, publisher, year, edition, pages
Harrisonburg, VA: Mine Action Information Center, 2010
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:miun:diva-11593 (URN)
Projects
Development of models for decision making when conducting Non-Technical Survey (NTS) and Technical Survey (TS) in mine action
Available from: 2010-06-04 Created: 2010-06-04 Last updated: 2018-01-12Bibliographically approved
Riabacke, M., Bohman, S., Danielson, M., Ekenberg, L., Faye, W. & Larsson, A. (2010). Public Decision MakingSupport: A Developing Country Perspective. In: Proceedings of IST-Africa 2010. Paper presented at 5th IST-Africa 2010 Conference and Exhibition; Durban; 19 May 2010 through 21 May 2010 (pp. 5753063). IEEE conference proceedings
Open this publication in new window or tab >>Public Decision MakingSupport: A Developing Country Perspective
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2010 (English)In: Proceedings of IST-Africa 2010, IEEE conference proceedings, 2010, p. 5753063-Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this paper is to discuss a method for public decision making with decision support in developing countries in Africa. It integrates two academic fields: decision theory and computer-aided decision support on the one hand, and political science and e-democracy on the other. The method suggested deals with the problem of communication within the governmental body, as well as externally to the public. It supports decision making by a methodical stepwise procedure, formal modelling, and analysis. The result is a well-organized and transparent decision making process. The model is based on previous research and case studies in Sweden and Hungary. One major challenge is to develop a decision support adapted to local conditions and needs while preserving integrity of the method. Potential benefits range from better investment decisions, improved risk management, to increased transparency and governmental trust

Place, publisher, year, edition, pages
IEEE conference proceedings, 2010
Series
IST-Africa ; 2010
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:miun:diva-11437 (URN)2-s2.0-79956091029 (Scopus ID)978-190582419-9 (ISBN)
Conference
5th IST-Africa 2010 Conference and Exhibition; Durban; 19 May 2010 through 21 May 2010
Projects
STC
Available from: 2010-04-21 Created: 2010-04-21 Last updated: 2018-01-12Bibliographically approved
Danielson, M., Ekenberg, L., Larsson, A. & Riabacke, M. (2010). Transparent Public Decision Making - Discussion and Case Study in Sweden (1ed.). In: French, S. and Ríos Insua, D. (Ed.), e-Democracy: Advances in Group Decision and Negotiation Volume 5 Part 4 (pp. 263-281). Springer Science+Business Media B.V.
Open this publication in new window or tab >>Transparent Public Decision Making - Discussion and Case Study in Sweden
2010 (English)In: e-Democracy: Advances in Group Decision and Negotiation Volume 5 Part 4 / [ed] French, S. and Ríos Insua, D., Springer Science+Business Media B.V., 2010, 1, p. 263-281Chapter in book (Other academic)
Abstract [en]

The Swedish city of Örebro has since long faced complex problems with poor water quality in a local river. This problem is a typical example of a regional decision problem, since there are several different stakeholders that might be affected, and there are different views on the need for, and effect of, different measures. The problems also strongly relate to the environmental condition of the river and involve other municipalities as well. In this chapter, we describe how to address this problem using an implementation of a systematic democratic decision process for enhancing the transparency and the decision quality in itself. The process is in conformity with common democratic processes, but with higher emphasis on accuracy and precision and on the interaction between civil servants and decision makers. A main issue here is to clearly separate the various views involved in these processes from the actual facts and, at the same time, facilitate input from various stakeholders. Therefore, we allow for modelling of outcomes based on different preferences and facilitate an elicitation process where views are extracted and combined with basic data from the background investigations preceding the decision. The process is divided into two stages. The first one is emphasized in this chapter and concerns the internal democracy, i.e. the formulation and refinement of the original and extended decision problems and the interaction between politicians and civil servants, while the second stage deals with the external democracy, i.e. the communication with the public, where communication channels directed towards citizens will be formed.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2010 Edition: 1
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-9986 (URN)10.1007/978-90-481-9045-4_15 (DOI)978-90-481-9044-7 (ISBN)978-90-481-9045-4 (ISBN)
Projects
STC
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2018-01-13Bibliographically approved
Sutinen, M., Danielson, M., Ekenberg, L. & Larsson, A. (2010). Web-Based Analytical Decision Support System. In: Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. Paper presented at 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10; Cairo; 29 November 2010 through 1 December 2010 (pp. 575-579). IEEE conference proceedings
Open this publication in new window or tab >>Web-Based Analytical Decision Support System
2010 (English)In: Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, IEEE conference proceedings, 2010, p. 575-579Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a web-application supporting structured decision modelling and analysis. The application allows for decision modelling with respect to different preferences and views, allowing for numerically imprecise and vague background probabilities, values, and criteria weights, which further can be adjusted in an interactive fashion when considering calculated decision outcomes. The web-application is based on a decision tool that has been used in a large number of different domains over the last 15 years, ranging from investment decision analysis for companies to public decision support for local governments.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2010
Keyword
Decision support systems, Web application, Web-based analysis
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:miun:diva-13000 (URN)10.1109/ISDA.2010.5687202 (DOI)2-s2.0-79851494404 (Scopus ID)978-1-4244-8134-7 (ISBN)
Conference
2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10; Cairo; 29 November 2010 through 1 December 2010
Projects
STC
Available from: 2011-01-14 Created: 2011-01-14 Last updated: 2018-01-12Bibliographically approved
Riabacke, M., Danielson, M., Ekenberg, L. & Larsson, A. (2009). A Prescriptive Approach for Eliciting Imprecise Weight Statements in an MCDA Process. In: Lecture Notes in Computer Science Volume 5783. Paper presented at 1st International Conference on Algorithmic Decision Theory, ADT 2009; Venice; 20 October 2009 through 23 October 2009; Code 77991 (pp. 168-179). Berlin / Heidelberg: Springer
Open this publication in new window or tab >>A Prescriptive Approach for Eliciting Imprecise Weight Statements in an MCDA Process
2009 (English)In: Lecture Notes in Computer Science Volume 5783, Berlin / Heidelberg: Springer, 2009, p. 168-179Conference paper, Published paper (Refereed)
Abstract [en]

In this article, we discuss decision making involving multiple objectives (MCDA) and especially the lack of more prescriptively useful elicitation methods for weights within MCDA. We highlight the discrepancy between how elicitation is handled in current decision analysis applications and the abilities of real decision-makers to provide what is required from them. Based on theory and highlighted problems with current methods, we propose a novel approach for weight elicitation which relaxes the need for numeric preciseness from decision-makers and reduces some of the practical issues related to such processes. The method is tested in a comparative study, as well as employed in a real-life case study.

Place, publisher, year, edition, pages
Berlin / Heidelberg: Springer, 2009
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 5783/2009
Keyword
Multi-criteria decision making - Elicitation process - Imprecise criteria weights
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-9988 (URN)10.1007/978-3-642-04428-1_15 (DOI)2-s2.0-71549136798 (Scopus ID)978-3-642-04427-4 (ISBN)
Conference
1st International Conference on Algorithmic Decision Theory, ADT 2009; Venice; 20 October 2009 through 23 October 2009; Code 77991
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2018-01-13Bibliographically approved
Borking, K., Danielson, M., Ekenberg, L., Idefeldt, J. & Larsson, A. (2009). Bortom Business Intelligence (1ed.). Stockholm: Sine Metu
Open this publication in new window or tab >>Bortom Business Intelligence
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2009 (Swedish)Book (Other academic)
Place, publisher, year, edition, pages
Stockholm: Sine Metu, 2009. p. 157 Edition: 1
National Category
Computer Sciences
Identifiers
urn:nbn:se:miun:diva-9987 (URN)978-91-978450-0-7 (ISBN)
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2018-01-13Bibliographically approved
Danielson, M. & Ekenberg, L. (2009). Development of Algorithms for Decision Analysis with Interval Information. In: Proceedings of the 8th International Conference on Software Methodologies, Tools and Techniques.
Open this publication in new window or tab >>Development of Algorithms for Decision Analysis with Interval Information
2009 (English)In: Proceedings of the 8th International Conference on Software Methodologies, Tools and Techniques, 2009Conference paper, Published paper (Refereed)
Identifiers
urn:nbn:se:miun:diva-10004 (URN)
Available from: 2009-10-08 Created: 2009-10-08 Last updated: 2013-01-30Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0665-1889

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